UI/UX Designer

Data Scientist

Job Title: Data Scientist – Data and Artificial Intelligence

Location: Hyderabad

Job Type: Full-time

Company Description:

Qylis is a leading provider of innovative IT solutions, specializing in Cloud, Data & AI, 

and Cyber Security. We help businesses unlock the full potential of these technologies 

to achieve their goals and gain a competitive edge. Our unique approach focuses on 

delivering value through bespoke solutions tailored to customer specific needs. We are 

driven by a customer-centric mindset and committed to delivering continuous value 

through intellectual property accelerators and automation. Our team of experts is 

passionate about technology and dedicated to making a positive impact. We foster an 

environment of growth and innovation, constantly pushing the boundaries to deliver 

exceptional results. Website: www.qylis.com, LinkedIn: 

www.linkedin.com/company/qylis

Job Summary

We are an engineering organization collaborating directly with clients to address 

challenges using the latest technologies. Our focus is on joint code development with 

clients' engineers for cloud-based solutions, accelerating organizational progress. 

Working with product teams, partners, and open-source communities, we contribute to 

open source, striving for platform improvement. This role involves creating impactful 

solution patterns and open-source assets. As a team member, you'll collaborate with 

engineers from both teams, applying your skills and creativity to solve complex 

challenges and contribute to open source, while fostering professional growth.

Responsibilities

• Researching and developing production-grade models (forecasting, anomaly 

detection, optimization, clustering, etc.) for global cloud business by using 

statistical and machine learning techniques.

• Manage large volumes of data, and create new and improved solutions for data 

collection, management, analyses, and data science model development.

• Drive the onboarding of new data and the refinement of existing data sources 

through feature engineering and feature selection.

• Apply statistical concepts and cutting-edge machine learning techniques to 

analyze cloud demand and optimize data science model code for distributed 

computing platforms and task automation.

• Work closely with other data scientists and data engineers to deploy models that 

drive cloud infrastructure capacity planning.

• Present analytical findings and business insights to project managers, 

stakeholders, and senior leadership and keep abreast of new statistical / 

machine learning techniques and implement them as appropriate to improve 

predictive performance.

• Oversees the analysis of data and leads the team in identifying trends, patterns, 

correlations, and insights to develop new forecasting models and improve 

existing models.

• Leads collaboration among team and leverages data to identify pockets of 

opportunity to apply state-of-the-art algorithms to improve a solution to a 

business problem.

• Consistently leverages knowledge of techniques to optimize analysis using 

algorithms.

• Modifies statistical analysis tools for evaluating Machine Learning models. 

Solves deep and challenging problems for circumstances such as when model 

predictions are not correct, when models do not match the training data or the 

design outcomes when the data is not clean when it is unclear which analyses to 

run, and when the process is ambiguous.

• Provides coaching to team members on business context, interpretation, and the 

implications of findings. Interprets findings and their implications for multiple 

businesses, and champions methodological rigour by calling attention to the 

limitations of knowledge wherever biases in data, methods, and analysis exist.

• Generates and leverages insights that inform future studies and reframe the 

research agenda. Informs both current business decisions by implementing and 

adapting supply-chain strategies through complex business intelligence.

Qualifications

• M.Sc. in Statistics, Applied Mathematics, Applied Economics, Computer 

Science or Engineering, Data Science, Operations Research or similar applied 

quantitative field

• 7+ years of industry experience in developing production-grade statistical and 

machine learning code in a collaborative team environment.

• Prior experience in machine learning using R or Python (scikit / numpy / pandas / 

statsmodel).

• Prior experience working on Computer Vision Project is an Add on 

• Knowledge on AWS and Azure Cloud.

• Prior experience in time series forecasting.

• Prior experience with typical data management systems and tools such as SQL.

• Knowledge and ability to work within a large-scale computing or big data context, 

and hands-on experience with Hadoop, Spark, DataBricks or similar.

• Excellent analytical skills; ability to understand business needs and translate 

them into technical solutions, including analysis specifications and models.

• Experience in machine learning using R or Python (scikit / numpy / pandas / 

statsmodel) with skill level at or near fluency.

• Experience with deep learning models (e.g., tensorflow, PyTorch, CNTK) and solid 

knowledge of theory and practice.

• Practical and professional experience contributing to and maintaining a large 

code base with code versioning systems such as Git.

• Creative thinking skills with emphasis on developing innovative methods to solve 

hard problems under ambiguity.

• Good interpersonal and communication (verbal and written) skills, including the 

ability to write concise and accurate technical documentation and communicate 

technical ideas to non-technical audiences.

Full Stack Java Developer-

Java, Angular 5+, html, css, Springboot, microservices, hibernate, mysql, sql server.

• Supporting the development and execution of product strategies and roadmaps
• Conducting market research and competitive analysis to identify market trends and opportunities
• Collaborating with cross-functional teams to define product requirements and specifications
• Working closely with Engineering to ensure the timely delivery of product features and enhancements
• Assisting in the planning and execution of product launches and go-to-market strategies
• Analyzing product performance data to inform product decisions and prioritize feature development
• Supporting customer success and sales teams in product-related inquiries and escalations
• Quick Turnaround Time
• Good communication skills,
• ability to work with creative and technical departments
• Self-motivation,
• ability to work under pressure and meet deadlines
• Receptive to constructive criticism
• delivering changes as directed Technical know-how

ROLES AND RESPONSIBILITIES

• Lead the Software Team. Ensure consistent deliveries of planned features while ensuring code quality, testing standards, and processes are maintained.

• Work with the leadership team to cultivate and grow the Internal Software Team Culture at

• Work across the full stack, building highly scalable distributed solutions that enable positive user experiences and measurable business growth

• Ensure application performance, uptime, and scale, maintaining high standards of code quality and thoughtful application design.

• Solve technical problems of high scope and complexity.

• Exert influence on the overall objectives and long-range goals of your team.

• Experience with performance and optimization problems, particularly at a large scale, and a demonstrated ability to both diagnose and prevent these problems.

• Help to define and improve our internal standards for style, maintainability, and best practices for a high-scale web environment. Maintain and advocate for these standards through code review.

CANDIDATES MUST HAVE

• Experienced in designing and integrating RESTful APIs

• Knowledge of Python

• Excellent debugging and optimization skills

DESIRED SKILLS & EXPERIENCE

• 3-5 years of experience building large-scale software applications and working with large software teams.

• Bachelor’s degree in computer science, information technology, or engineering • Experience designing and integrating RESTful APIs

• Knowledge of Python and Backend Development

• Experience building Web/Mobile applications

• Excellent debugging and optimization skills

• Unit and Integration testing experience

• Being knowledgeable about engineering processes and good practices

• Passionate about learning new tools. Ability to continuously learn and acquire knowledge.

• Able to adapt to changing complexity of tasks.

We are having an excellent job opportunity for the position for AWS Infra Architect for one of the reputed Multinational Company at Hyderabad.

Mandate Skills : Please find the below expectations

• We need at-least 3+ years of experience as an Architect in AWS Primary Skills
• Designing, Planning, Implementation , Providing the solutions in Designing the Architecture
• Automation Using Terraform / Powershell /Python
• Should have good experience in Cloud formation Templates
• Experience in Cloudwatch
• Security in AWS
• Strong Linux Administration skills